Анализ сайта blog.deeplearning.ai
Основное Готовность: 50%
Домен
blog.deeplearning.ai
Состояние доменного имени
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Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Используйте для продвижения только домен второго уровня.
Длина домена велика. Но если вы продвигаете запрос, входящий в название домена, то это хорошо.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
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Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Кол-во редиректов 3 слишком большое! Проверьте настройки сайта и веб-сервера!
Цепочка редиректов:
http://blog.deeplearning.ai
301 MovedPermanently
https://www.deeplearning.ai/the-batch/
308 PermanentRedirect
https://www.deeplearning.ai/the-batch
200 OK
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
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HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 04.10.2026 22:45:22.
Сервер поддерживает HTTP/3 (QUIC) — новейший протокол.
Включён HSTS (Strict-Transport-Security) — защита от подмены на http.
HTTP автоматически перенаправляется на HTTPS.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
utf-8
Кодировка символов страницы
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Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице utf-8.
Язык
en
Атрибут lang в HTML-теге
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Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: en.
Скорость загрузки
~0,33сек
Время отклика сервера (TTFB)
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Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 0,33сек оптимальна.
Объем документа
175Кб
Размер HTML-кода страницы
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Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 175Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 44
Внешние ресурсы страницы (CSS, JS, изображения)
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Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 44 много для одной страницы. Приемлемо до 10. Проведите оптимизацию файлов ресурсов!
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | /_next/static/chunks/0yhpetpoc4y7t.css?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| stylesheet | /_next/static/chunks/0eo8vkaoo5.vm.css?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| stylesheet | /_next/static/chunks/01gkfh0xd6nyn.css?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0tr4m54~~bket.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0nyie76sfbyed.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0f2_sar0uobru.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/16q74h.zm-chu.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0z~_8at728w0e.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0f~ehsf4f3kj~.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/05kx.k_2w5ua4.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0tvj~spq6g8iu.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/turbopack-0~50u56.y7kt-.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0qqmm4re59-gl.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0pxuc55_e4ra8.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/073f1wgkv7l2o.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/04gkq_a39_353.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/04ia0s8m_t--t.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0s0hyc3avm.l_.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0-k60dgav83s0.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0sd2eribh11d..js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/09-k0vb8i10wx.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/17o69.2pyz1dv.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/00z51mfk1t6n2.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/00lj17harj-i9.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/05jp~qrayz613.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0qev_h5a3m362.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0-me~ind.s8xz.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/169xs2efquc--.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0ztds.vb-84w3.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/051-._9b024oc.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0qb_4mv7-ogdk.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0fur0w799ssn3.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/1058dnj01jzd2.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0~r8qipx4wxit.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0jq6_7gf6eq-z.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0pkqv18z_x7xr.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0ex3h2wetmenf.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/15gss6fleot0s.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0bae.j-pxcgut.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/12expa.8ohoyp.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/00.m7~k4~ae4m.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/03~yq9q893hmn.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | /_next/static/chunks/0eu~ze.xjs57j.js?dpl=dpl_FWvDur8PLZ8tokFXEihVLB6XyHDC | |
| js | module | https://static.cloudflareinsights.com/beacon.min.js/v4513226cdae34746b4dedf0b4dfa099e1781791509496 |
Серверные заголовки
Кол-во: 18
HTTP-заголовки ответа сервера
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Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 18шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Date | Sat, 22 Aug 2026 16:05:49 GMT |
| Age | 29 |
| Cache-Control | public, must-revalidate, max-age=0 |
| Server-Timing | cfCacheStatus;desc="DYNAMIC" |
| X-Content-Type-Options | nosniff |
| Server | cloudflare |
| Strict-Transport-Security | max-age=15552000; includeSubDomains; preload |
| Vary | rsc |
| x-matched-path | /the-batch |
| x-nextjs-prerender | 1 |
| x-nextjs-stale-time | 300 |
| X-Powered-By | Next.js |
| x-vercel-cache | HIT |
| x-vercel-id | arn1::iad1::2q5fj-1787414749742-e780d5de5af2 |
| cf-cache-status | DYNAMIC |
| Content-Security-Policy | frame-ancestors 'self' https://deeplearning.ai https://*.deeplearning.ai; |
| cf-ray | a2f31f096eaae923-DME |
| Alt-Svc | h3=":443" |
CMS
Не определена
Система управления сайтом (движок)
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CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
CMS не определена. Вероятно, сайт самописный либо движок надёжно скрыт. Это не ошибка.
Веб-сервер
Cloudflare
Программное обеспечение сервера
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Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
Сайт работает на веб-сервере Cloudflare.
Мета-теги Готовность: 48%
Title
The Batch | DeepLearning.AI | AI News & Insights
Заголовок страницы в браузере и поисковой выдаче
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Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо уменьшить число символов в title (текущее значение: 52, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
The Batch — weekly AI news and insights from DeepLearning.AI. What matters in AI right now.
Описание страницы в поисковой выдаче (сниппет)
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Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Необходимо увеличить число символов в description (текущее значение: 91, оптимально: от 120 до 130)
Keywords
Список ключевых слов страницы (устаревший тег)
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Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
https://www.deeplearning.ai/the-batch
Указывает поисковику основную версию страницы
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Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Канонический Url прописан корректно.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
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Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
width=device-width, initial-scale=1
Настройка масштабирования на мобильных устройствах
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Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Разметка OpenGraph
Кол-во: 4
Мета-теги для красивых превью в соцсетях
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OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph задана. Страница оптимизирована под социальные сети.
Показать полный список og мета-тегов
| Тип | Значение |
|---|---|
| og:title | DeepLearning.AI |
| og:description | Learn AI with DeepLearning.AI |
| og:url | https://www.deeplearning.ai |
| og:site_name | DeepLearning.AI |
Все мета-теги
Кол-во: 13
Полный список мета-тегов страницы
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Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 13шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | viewport | width=device-width, initial-scale=1 |
| name | next-size-adjust | |
| name | theme-color | white |
| name | description | The Batch — weekly AI news and insights from DeepLearning.AI. What matters in AI right now. |
| name | twitter:card | summary |
| name | twitter:title | DeepLearning.AI |
| name | twitter:description | Learn AI with DeepLearning.AI |
| name | sentry-trace | 5b034d56754c9d1cf3b86bbbfb0708fb-34e2cfd5e6a93bac-0 |
| name | baggage | sentry-environment=production,sentry-release=dca94b1b07165e38361c42c8dea4793650621c11,sentry-public_key=968230a1e512a1d9158bee76b8129dd7,sentry-trace_id=5b034d56754c9d1cf3b86bbbfb0708fb,sentry-org_id=540412,sentry-sampled=false,sentry-sample_rand=0.81373785107002,sentry-sample_rate=0.05 |
| property | og:title | DeepLearning.AI |
| property | og:description | Learn AI with DeepLearning.AI |
| property | og:url | https://www.deeplearning.ai |
| property | og:site_name | DeepLearning.AI |
Оптимизация Готовность: 92%
Структура
Ошибок нет
Семантические HTML-элементы страницы
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Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют по одному на документ).
Контент
Ошибок нет
Объём и качество текстового содержимого
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Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 6 встречаются в тексте достаточно.
Абзацев с текстом 19 достаточно.
Среднее число слов в абзаце 28 достаточно.
Кол-во знаков контента 6239 на странице оптимально.
Кол-во слов 1008 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
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H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 1. Это прекрасно.
На странице присутствуют заголовки <h2> 4. Это хорошо.
На странице присутствуют заголовки <h3> 18.
Тошнота
4
Насколько одно слово доминирует в тексте
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Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 3. Измените текст страницы!
Академич. тошнота
11,61%
Насколько текст перенасыщен ключевыми словами
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Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота страницы в пределах нормы.
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
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Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| insights: | 16 | 1,59% |
| models | 8 | 0,79% |
| agents | 5 | 0,50% |
| coding | 4 | 0,40% |
| business | 4 | 0,40% |
| learning | 4 | 0,40% |
| contact | 4 | 0,40% |
| courses | 3 | 0,30% |
| andrews | 3 | 0,30% |
| points | 3 | 0,30% |
| research | 3 | 0,30% |
| community | 3 | 0,30% |
| membership | 3 | 0,30% |
| overview | 3 | 0,30% |
| pricing | 3 | 0,30% |
| tracks | 3 | 0,30% |
| weekly | 3 | 0,30% |
| engineering | 3 | 0,30% |
| skills | 3 | 0,30% |
| building | 3 | 0,30% |
Индексация Готовность: 0%
Индексирование
Ошибок нет
Разрешено ли индексирование страницы
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Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 83 оптимально. Поисковые роботы обязательно проиндексируют сайт.
Robots.txt
Найден корректный robots.txt
Файл управления сканированием сайта роботами
?
Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Кол-во редиректов для файла robots.txt 3 слишком большое! Это может вызывать затруднение при индексации поисковыми роботами!
Проверяемая страница не запрещена в robots.txt.
Robots.txt доступен по постоянному адресу
Цепочка редиректов для файла robots.txt:
http://blog.deeplearning.ai/robots.txt
301 MovedPermanently
https://www.deeplearning.ai/the-batch/
308 PermanentRedirect
https://www.deeplearning.ai/the-batch
200 OK
Показать содержимое robots.txt
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min read</span></footer></div><a class="absolute inset-0" aria-label="Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, Computer Use Gains Momentum, Fine Control of Fine-Tuning" href="/the-batch/issue-286"></a></article><article class="card bg-base-100 relative grid grid-cols-3 overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r col-span-1 aspect-square h-full"><img alt="DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI’s o1" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="120px" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=32&q=75 32w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=48&q=75 48w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=64&q=75 64w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=96&q=75 96w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=128&q=75 128w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=256&q=75 256w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2025%2F01%2Funnamed--47--1.png&w=3840&q=75"/></figure><div class="col-span-2 flex flex-col justify-between gap-3 p-4"><h3 class="subtitle2 line-clamp-4">DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI’s o1</h3><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>January 22, 2025</span><span aria-hidden="true">·</span><span>4<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI’s o1" href="/the-batch/deepseek-r1-an-affordable-rival-to-openais-o1"></a></article></div></section></div><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Meta’s Play for Coding Data, Google Robotics Multi-Embodiment, MiniMax’s Open Video Model (With an Asterisk)" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FSkills-Map-2-1.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/aug-14-2026">Aug 14, 2026</a><h3 class="subtitle1">Meta’s Play for Coding Data, Google Robotics Multi-Embodiment, MiniMax’s Open Video Model (With an Asterisk)</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: I am delighted to present The AI Engineering Skills Map.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>20<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Meta’s Play for Coding Data, Google Robotics Multi-Embodiment, MiniMax’s Open Video Model (With an Asterisk)" href="/the-batch/issue-366"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="DeepSeek-V4-Flash Outshines Pro, The Biggest GitHub Crawl Yet, Engineering System Prompts for Safer Code" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F08%2FToken-Meter.png-2.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/aug-07-2026">Aug 07, 2026</a><h3 class="subtitle1">DeepSeek-V4-Flash Outshines Pro, The Biggest GitHub Crawl Yet, Engineering System Prompts for Safer Code</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: I’m glad the idea of “tokenmaxxing” — that individuals and companies should use as many tokens as possible to boost productivity — is finally dying out.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>19<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="DeepSeek-V4-Flash Outshines Pro, The Biggest GitHub Crawl Yet, Engineering System Prompts for Safer Code" href="/the-batch/issue-365"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Opus Outshines Even Fable, Inside the Hugging Face Hack, AI Companies Spend Big for Compute" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FClaude-Fable-5-Refusal--Border-.png&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jul-31-2026">Jul 31, 2026</a><h3 class="subtitle1">Opus Outshines Even Fable, Inside the Hugging Face Hack, AI Companies Spend Big for Compute</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: My team recently had our own version of Hugging Face’s experience when closed models failed to defend the company following an accidental cyberattack from OpenAI, leading Hugging Face to use the open weight GLM 5.2 instead.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>17<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Opus Outshines Even Fable, Inside the Hugging Face Hack, AI Companies Spend Big for Compute" href="/the-batch/issue-364"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Kimi K3 Redraws the Open Frontier, Muse Spark 1.1 Undercuts Competitors, Cloudflare Moves to Cut Off Crawlers" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FOpen-AI-Rally-FINAL.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jul-24-2026">Jul 24, 2026</a><h3 class="subtitle1">Kimi K3 Redraws the Open Frontier, Muse Spark 1.1 Undercuts Competitors, Cloudflare Moves to Cut Off Crawlers</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: A few frontier labs have tried to tell a story of open models being dangerous because they can be used to launch cyberattacks, and of their “safe” proprietary models with strong guardrails being there to defend us.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>17<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Kimi K3 Redraws the Open Frontier, Muse Spark 1.1 Undercuts Competitors, Cloudflare Moves to Cut Off Crawlers" href="/the-batch/issue-363"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="AI Overviews Land Google In Hot Water, GPT-Live Puts Reasoning in the Background, How to Tell If Your Model is Manipulative" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FFull-Stack-Team-1.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jul-17-2026">Jul 17, 2026</a><h3 class="subtitle1">AI Overviews Land Google In Hot Water, GPT-Live Puts Reasoning in the Background, How to Tell If Your Model is Manipulative</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: As AI increasingly automates coding, it frees up developers to spend time on high-level software development tasks traditionally reserved for senior engineers, like deciding on technical architecture and participating in scoping product requirements.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>17<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="AI Overviews Land Google In Hot Water, GPT-Live Puts Reasoning in the Background, How to Tell If Your Model is Manipulative" href="/the-batch/issue-362"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Restoration of Claude Fable 5, Gemini's Video Dev Engine, DeepSeek Speeds Up Speculative Decoding" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2FSPEC-md-Final-1.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jul-10-2026">Jul 10, 2026</a><h3 class="subtitle1">Restoration of Claude Fable 5, Gemini's Video Dev Engine, DeepSeek Speeds Up Speculative Decoding</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: The key idea of agentic coding loops is to have an agent keep working until it satisfies a condition, such as achieving a product specification.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>19<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Restoration of Claude Fable 5, Gemini's Video Dev Engine, DeepSeek Speeds Up Speculative Decoding" href="/the-batch/issue-361"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="OpenAI’s GPT-5.6 Family, New Ways to Train Robots, Models Invoking Models" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F07%2F2026.07.03-LETTER-b.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jul-03-2026">Jul 03, 2026</a><h3 class="subtitle1">OpenAI’s GPT-5.6 Family, New Ways to Train Robots, Models Invoking Models</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: The AI world has become incredibly noisy. Social media, traditional media, and an army of marketers produce a cacophony of hype and content that are often secretly sales pitches for their products.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>18<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="OpenAI’s GPT-5.6 Family, New Ways to Train Robots, Models Invoking Models" href="/the-batch/issue-360"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F3KeyDevelopmentLoops_v4a.jpg&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jun-26-2026">Jun 26, 2026</a><h3 class="subtitle1">A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch News & Insights: “Loop engineering” is a hot buzzphrase after Boris Cherney (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) both mentioned it on social media.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>17<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems" href="/the-batch/issue-359"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2FSharingWorld2_1200x676px.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jun-19-2026">Jun 19, 2026</a><h3 class="subtitle1">Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch AI News and Insights: Over the last two weeks, both the U.S. Government and Anthropic took significant actions that demonstrated their power to control access to AI by restricting what others can do with frontier models.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>18<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender" href="/the-batch/issue-358"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Mythos Begets Fable, Cursor's Composer 2.5, Agents Building Agents" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.12-LETTER-4.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jun-12-2026">Jun 12, 2026</a><h3 class="subtitle1">Mythos Begets Fable, Cursor's Composer 2.5, Agents Building Agents</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch AI News and Insights: If you haven’t already, I encourage you to experiment with using AI agents not just to chat but to actually do work for you on your desktop.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>19<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Mythos Begets Fable, Cursor's Composer 2.5, Agents Building Agents" href="/the-batch/issue-357"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Qwen3.7-Max Challenges Google for Third Place, AI Saves Whales, Fine-Tuning Breaks Copyright Alignment" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F06%2F2026.06.05-LETTER.webp&w=3840&q=75"/></figure><div class="card-body items-start gap-3"><a class="badge badge-soft badge-neutral relative z-10 hover:text-base-content" href="/the-batch/tag/jun-05-2026">Jun 05, 2026</a><h3 class="subtitle1">Qwen3.7-Max Challenges Google for Third Place, AI Saves Whales, Fine-Tuning Breaks Copyright Alignment</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch AI News and Insights: There have been intense efforts over the past few years to lobby governments to pass AI laws for regulatory capture or to suppress open source.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>15<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Qwen3.7-Max Challenges Google for Third Place, AI Saves Whales, Fine-Tuning Breaks Copyright Alignment" href="/the-batch/issue-356"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Gemini Flash Gets Pricey, AI Act Delays, Agents Drive Online Traffic" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2F2026.05.29-LETTER-1.webp&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2F2026.05.29-LETTER-1.webp&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2F2026.05.29-LETTER-1.webp&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2F2026.05.29-LETTER-1.webp&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2F2026.05.29-LETTER-1.webp&w=1080&q=75 1080w, 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line-clamp-3 ">The Batch AI News and Insights: One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>17<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Gemini Flash Gets Pricey, AI Act Delays, Agents Drive Online Traffic" href="/the-batch/issue-355"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Hermes vs. OpenClaw, Cybersecurity Alarms Ring, More-Interactive Conversations, Can Agents Do Human Work?" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FScreenshot-2026-05-21-at-12.06.37---PM.png&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FScreenshot-2026-05-21-at-12.06.37---PM.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FScreenshot-2026-05-21-at-12.06.37---PM.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FScreenshot-2026-05-21-at-12.06.37---PM.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FScreenshot-2026-05-21-at-12.06.37---PM.png&w=1080&q=75 1080w, 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Alarms Ring, More-Interactive Conversations, Can Agents Do Human Work?</h3><p class="body2 text-base-content-secondary line-clamp-3 ">The Batch AI News and Insights: Harvard University just voted to limit the number of A grades given in undergraduate classes to about 20% of the class.</p><footer class="label2 text-base-content-secondary flex items-center gap-2"><span>16<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="Hermes vs. OpenClaw, Cybersecurity Alarms Ring, More-Interactive Conversations, Can Agents Do Human Work?" href="/the-batch/issue-354"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="China Thwarts Meta’s Agentic Ambition, U.S. Evaluates Upcoming Models, AI Diagnoses Mammograms" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=384&q=75 384w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2Funnamed--2-.png&w=1200&q=75 1200w, 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text-base-content-secondary flex items-center gap-2"><span>16<!-- --> min read</span></footer></div><a class="absolute inset-0" aria-label="China Thwarts Meta’s Agentic Ambition, U.S. Evaluates Upcoming Models, AI Diagnoses Mammograms" href="/the-batch/issue-353"></a></article><article class="card bg-base-100 relative h-full overflow-hidden shadow-sm transition-shadow hover:shadow-md"><figure class="from-base-100 via-base-200 to-base-100 relative aspect-video w-full bg-gradient-to-r "><img alt="Seedance Makes A Splash, Nvidia's AI-Guided Chip Designs, Helping Robots Not Forget" loading="lazy" decoding="async" data-nimg="fill" class="object-cover" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="(min-width: 1024px) 400px, (min-width: 768px) 50vw, 100vw" srcSet="/_next/image?url=https%3A%2F%2Fcharonhub.deeplearning.ai%2Fcontent%2Fimages%2F2026%2F05%2FAI-effect-on-workforce_PressCoverage3--1--1.webp&w=384&q=75 384w, 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Social media, traditional media, and an army of marketers produce a cacophony of hype and content that are often secretly sales pitches for their products.\",\"href\":\"/the-batch/issue-360\",\"date\":\"$undefined\",\"readingTime\":18,\"eyebrow\":{\"title\":\"Jul 03, 2026\",\"tagSlug\":\"jul-03-2026\"}},{\"title\":\"A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/06/3KeyDevelopmentLoops_v4a.jpg\",\"alt\":\"A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems\"},\"excerpt\":\"The Batch News \u0026amp; Insights: “Loop engineering” is a hot buzzphrase after Boris Cherney (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) both mentioned it on social media.\",\"href\":\"/the-batch/issue-359\",\"date\":\"$undefined\",\"readingTime\":17,\"eyebrow\":{\"title\":\"Jun 26, 2026\",\"tagSlug\":\"jun-26-2026\"}},{\"title\":\"Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/06/SharingWorld2_1200x676px.webp\",\"alt\":\"Testing Mythos and Fable, Moving Beyond SWE-bench, Nvidia's Open Contender\"},\"excerpt\":\"The Batch AI News and Insights: Over the last two weeks, both the U.S. Government and Anthropic took significant actions that demonstrated their power to control access to AI by restricting what others can do with frontier models.\",\"href\":\"/the-batch/issue-358\",\"date\":\"$undefined\",\"readingTime\":18,\"eyebrow\":{\"title\":\"Jun 19, 2026\",\"tagSlug\":\"jun-19-2026\"}},{\"title\":\"Mythos Begets Fable, Cursor's Composer 2.5, Agents Building Agents\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/06/2026.06.12-LETTER-4.webp\",\"alt\":\"Mythos Begets Fable, Cursor's Composer 2.5, Agents Building Agents\"},\"excerpt\":\"The Batch AI News and Insights: If you haven’t already, I encourage you to experiment with using AI agents not just to chat but to actually do work for you on your desktop.\",\"href\":\"/the-batch/issue-357\",\"date\":\"$undefined\",\"readingTime\":19,\"eyebrow\":{\"title\":\"Jun 12, 2026\",\"tagSlug\":\"jun-12-2026\"}},{\"title\":\"Qwen3.7-Max Challenges Google for Third Place, AI Saves Whales, Fine-Tuning Breaks Copyright Alignment\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/06/2026.06.05-LETTER.webp\",\"alt\":\"Qwen3.7-Max Challenges Google for Third Place, AI Saves Whales, Fine-Tuning Breaks Copyright Alignment\"},\"excerpt\":\"The Batch AI News and Insights: There have been intense efforts over the past few years to lobby governments to pass AI laws for regulatory capture or to suppress open source.\",\"href\":\"/the-batch/issue-356\",\"date\":\"$undefined\",\"readingTime\":15,\"eyebrow\":{\"title\":\"Jun 05, 2026\",\"tagSlug\":\"jun-05-2026\"}},{\"title\":\"Gemini Flash Gets Pricey, AI Act Delays, Agents Drive Online Traffic\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/05/2026.05.29-LETTER-1.webp\",\"alt\":\"Gemini Flash Gets Pricey, AI Act Delays, Agents Drive Online Traffic\"},\"excerpt\":\"The Batch AI News and Insights: One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.\",\"href\":\"/the-batch/issue-355\",\"date\":\"$undefined\",\"readingTime\":17,\"eyebrow\":{\"title\":\"May 29, 2026\",\"tagSlug\":\"may-29-2026\"}},{\"title\":\"Hermes vs. OpenClaw, Cybersecurity Alarms Ring, More-Interactive Conversations, Can Agents Do Human Work?\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/05/Screenshot-2026-05-21-at-12.06.37---PM.png\",\"alt\":\"Hermes vs. OpenClaw, Cybersecurity Alarms Ring, More-Interactive Conversations, Can Agents Do Human Work?\"},\"excerpt\":\"The Batch AI News and Insights: Harvard University just voted to limit the number of A grades given in undergraduate classes to about 20% of the class.\",\"href\":\"/the-batch/issue-354\",\"date\":\"$undefined\",\"readingTime\":16,\"eyebrow\":{\"title\":\"May 22, 2026\",\"tagSlug\":\"may-22-2026\"}},{\"title\":\"China Thwarts Meta’s Agentic Ambition, U.S. Evaluates Upcoming Models, AI Diagnoses Mammograms\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/05/unnamed--2-.png\",\"alt\":\"China Thwarts Meta’s Agentic Ambition, U.S. Evaluates Upcoming Models, AI Diagnoses Mammograms\"},\"excerpt\":\"The Batch AI News and Insights: We’ve been working on AI Andrew, an AI companion shaped by my personality.\",\"href\":\"/the-batch/issue-353\",\"date\":\"$undefined\",\"readingTime\":16,\"eyebrow\":{\"title\":\"May 15, 2026\",\"tagSlug\":\"may-15-2026\"}},{\"title\":\"Seedance Makes A Splash, Nvidia's AI-Guided Chip Designs, Helping Robots Not Forget\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2026/05/AI-effect-on-workforce_PressCoverage3--1--1.webp\",\"alt\":\"Seedance Makes A Splash, Nvidia's AI-Guided Chip Designs, Helping Robots Not Forget\"},\"excerpt\":\"The Batch AI News and Insights: There will be no AI jobpocalypse. \",\"href\":\"/the-batch/issue-352\",\"date\":\"$undefined\",\"readingTime\":15,\"eyebrow\":{\"title\":\"May 08, 2026\",\"tagSlug\":\"may-08-2026\"}}],\"featuredCards\":[{\"title\":\"Introducing DeepLearning.AI Pro\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2025/10/DeepLearning.AI-Pro-Card-2.png\",\"alt\":\"Introducing DeepLearning.AI Pro\"},\"excerpt\":\"With exclusive courses, tools, and community, DeepLearning.AI Pro is a universal passport to learn every AI skill that matters.\",\"href\":\"/the-batch/introducing-deeplearning-ai-pro\",\"date\":\"October 31, 2025\",\"readingTime\":1,\"eyebrow\":{\"title\":\"AI Builder\",\"tagSlug\":\"ai-builder\"}},{\"title\":\"Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, Computer Use Gains Momentum, Fine Control of Fine-Tuning\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2025/02/DeepSeek-Byte7_3D-1.jpg\",\"alt\":\"Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, Computer Use Gains Momentum, Fine Control of Fine-Tuning\"},\"excerpt\":\"The Batch AI News and Insights: The buzz over DeepSeek this week crystallized, for many people, a few important trends that have been happening in plain sight.\",\"href\":\"/the-batch/issue-286\",\"date\":\"$undefined\",\"readingTime\":13,\"eyebrow\":{\"title\":\"Jan 29, 2025\",\"tagSlug\":\"jan-29-2025\"}},{\"title\":\"DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI’s o1\",\"image\":{\"src\":\"https://charonhub.deeplearning.ai/content/images/2025/01/unnamed--47--1.png\",\"alt\":\"DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI’s o1\"},\"excerpt\":\"A new open model rivals OpenAI’s o1, and it’s free to use or modify.\",\"href\":\"/the-batch/deepseek-r1-an-affordable-rival-to-openais-o1\",\"date\":\"January 22, 2025\",\"readingTime\":4,\"eyebrow\":{\"title\":\"Machine Learning Research\",\"tagSlug\":\"research\"}}],\"pagination\":{\"currentPage\":1,\"totalPages\":24,\"baseRoute\":\"/the-batch\"},\"toolbar\":\"$undefined\",\"heroFirstCard\":true,\"showFeaturedRail\":true}]\n"])</script><script type="module" src="https://static.cloudflareinsights.com/beacon.min.js/v4513226cdae34746b4dedf0b4dfa099e1781791509496" integrity="sha512-ZE9pZaUXND66v380QUtch/5sE9tPFh2zg45pR2PB0CVkCtOREv2AJKkSidISWkysEuQ0EH8faUU5du78bx87UQ==" 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Sitemap
Кол-во: 0
XML-карта сайта для поисковиков
?
Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt не содержит ссылку на карту сайта. Рекомендуется добавить карту сайта и указать ссылку на нее в robots.txt.
Внутренние ссылки
Кол-во: 91
Ссылки на другие страницы своего сайта
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Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
На странице присутствуют внутренние ссылки с пустым анкором: 19!
Внутренних ссылок на странице 91 оптимально.
Внутренние ссылки не запрещены к индексации в robots.txt.
На странице присутствуют изображения 2.
Показать внутренние ссылки
| Url | Анкор | Состояние | Анализировать |
|---|---|---|---|
| /courses |
Courses
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| /the-batch |
The Batch
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| /the-batch/tag/letters |
Andrew's Letter
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| /the-batch/tag/data-points |
Data Points
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| /the-batch/tag/research |
ML Research
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| /blog |
Blog
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| /events |
Events
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| /ambassador |
Ambassadors
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| /blog/category/ambassador-spotlight |
Ambassador Spotlight
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| /resources |
Resources
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| /membership |
Membership
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| /business |
Overview
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| /business/plans-pricing |
Plans & Pricing
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| /business/learningtracks |
Learning Tracks
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| /business/contact-us |
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| /membership |
Membership
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| /business |
Overview
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| /business/plans-pricing |
Plans & Pricing
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| /business/learningtracks |
Learning Tracks
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| /business/contact-us |
Contact Us
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| /courses |
Courses
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| /the-batch |
The Batch
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| /the-batch/tag/letters |
Andrew's Letter
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| /the-batch/tag/data-points |
Data Points
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| /the-batch/tag/research |
ML Research
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| /blog |
Blog
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| /events |
Events
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| /ambassador |
Ambassadors
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| /blog/category/ambassador-spotlight |
Ambassador Spotlight
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| /resources |
Resources
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| /membership |
Membership
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| /business |
Overview
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| /business/plans-pricing |
Plans & Pricing
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| /business/learningtracks |
Learning Tracks
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| /business/contact-us |
Contact Us
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| /the-batch |
Weekly Issues
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| /the-batch/tag/letters |
Andrew's Letters
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| /the-batch/tag/data-points |
Data Points
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| /the-batch/tag/research |
ML Research
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| /the-batch/tag/business |
Business
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| /the-batch/tag/science |
Science
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| /the-batch/tag/culture |
Culture
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| /the-batch/tag/hardware |
Hardware
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| /the-batch/tag/ai-careers |
AI Careers
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| /the-batch/about |
About
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| /the-batch/search |
<svg stroke="currentColor" fill="none" stroke-width="2" viewbox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" class="size-6" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><circle cx="11" cy="11" r="8"></circle><line x1="21" y1="21" x2="16.65" y2="16.65"></line></svg>
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| /the-batch/tag/aug-21-2026 |
Aug 21, 2026
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| /the-batch/issue-367 |
Пустой анкор
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| /the-batch/introducing-deeplearning-ai-pro |
Пустой анкор
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| /the-batch/issue-286 |
Пустой анкор
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| /the-batch/deepseek-r1-an-affordable-rival-to-openais-o1 |
Пустой анкор
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| /the-batch/tag/aug-14-2026 |
Aug 14, 2026
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| /the-batch/issue-366 |
Пустой анкор
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| /the-batch/tag/aug-07-2026 |
Aug 07, 2026
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| /the-batch/issue-365 |
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| /the-batch/tag/jul-31-2026 |
Jul 31, 2026
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| /the-batch/issue-364 |
Пустой анкор
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| /the-batch/tag/jul-24-2026 |
Jul 24, 2026
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| /the-batch/issue-363 |
Пустой анкор
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| /the-batch/tag/jul-17-2026 |
Jul 17, 2026
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| /the-batch/issue-362 |
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| /the-batch/tag/jul-10-2026 |
Jul 10, 2026
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| /the-batch/issue-361 |
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| /the-batch/tag/jul-03-2026 |
Jul 03, 2026
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| /the-batch/issue-360 |
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| /the-batch/tag/jun-26-2026 |
Jun 26, 2026
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| /the-batch/issue-359 |
Пустой анкор
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| /the-batch/tag/jun-19-2026 |
Jun 19, 2026
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| /the-batch/issue-358 |
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| /the-batch/tag/jun-12-2026 |
Jun 12, 2026
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| /the-batch/issue-357 |
Пустой анкор
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| /the-batch/tag/jun-05-2026 |
Jun 05, 2026
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| /the-batch/issue-356 |
Пустой анкор
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| /the-batch/tag/may-29-2026 |
May 29, 2026
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| /the-batch/issue-355 |
Пустой анкор
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| /the-batch/tag/may-22-2026 |
May 22, 2026
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| /the-batch/issue-354 |
Пустой анкор
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| /the-batch/tag/may-15-2026 |
May 15, 2026
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| /the-batch/issue-353 |
Пустой анкор
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| /the-batch/tag/may-08-2026 |
May 08, 2026
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| /the-batch/issue-352 |
Пустой анкор
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| /the-batch/page/2 |
Older Posts<svg stroke="currentColor" fill="none" stroke-width="2" viewbox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" class="hidden size-5 md:block" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><line x1="5" y1="12" x2="19" y2="12"></line><polyline points="12 5 19 12 12 19"></polyline></svg>
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| /courses |
Courses
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| /the-batch |
The Batch
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| /community |
Community
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| /careers |
Careers
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| /about |
About
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| /contact |
Contact
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| /terms-of-use |
Terms of Use
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| /privacy |
Privacy Policy
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| /membership |
Learn More
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Внешние ссылки
Кол-во: 9
Ссылки на сторонние сайты
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Исходящие внешние ссылки передают часть ссылочного веса на чужие сайты. Ссылки на авторитетные ресурсы безопасны; ссылки на мусорные сайты могут навредить репутации страницы.
Внешних ссылок на странице 9 слишком много. Спрячьте лишние ссылки в тег noindex или атрибут rel='nofollow'!
Показать внешние ссылки
| Url | Анкор | Анализировать |
|---|---|---|
| bit.ly |
AI Coding Workflows: From Cloud to Local
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| community.deeplearning.ai |
Forum
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| community.deeplearning.ai |
Forum
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| info.deeplearning.ai |
Help
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| facebook.com |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewbox="0 0 16 16" height="24" width="24" xmlns="http://www.w3.org/2000/svg"><path d="M16 8.049c0-4.446-3.582-8.05-8-8.05C3.58 0-.002 3.603-.002 8.05c0 4.017 2.926 7.347 6.75 7.951v-5.625h-2.03V8.05H6.75V6.275c0-2.017 1.195-3.131 3.022-3.131.876 0 1.791.157 1.791.157v1.98h-1.009c-.993 0-1.303.621-1.303 1.258v1.51h2.218l-.354 2.326H9.25V16c3.824-.604 6.75-3.934 6.75-7.951"></path></svg>
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| instagram.com |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewbox="0 0 16 16" height="24" width="24" xmlns="http://www.w3.org/2000/svg"><path d="M8 0C5.829 0 5.556.01 4.703.048 3.85.088 3.269.222 2.76.42a3.9 3.9 0 0 0-1.417.923A3.9 3.9 0 0 0 .42 2.76C.222 3.268.087 3.85.048 4.7.01 5.555 0 5.827 0 8.001c0 2.172.01 2.444.048 3.297.04.852.174 1.433.372 1.942.205.526.478.972.923 1.417.444.445.89.719 1.416.923.51.198 1.09.333 1.942.372C5.555 15.99 5.827 16 8 16s2.444-.01 3.298-.048c.851-.04 1.434-.174 1.943-.372a3.9 3.9 0 0 0 1.416-.923c.445-.445.718-.891.923-1.417.197-.509.332-1.09.372-1.942C15.99 10.445 16 10.173 16 8s-.01-2.445-.048-3.299c-.04-.851-.175-1.433-.372-1.941a3.9 3.9 0 0 0-.923-1.417A3.9 3.9 0 0 0 13.24.42c-.51-.198-1.092-.333-1.943-.372C10.443.01 10.172 0 7.998 0zm-.717 1.442h.718c2.136 0 2.389.007 3.232.046.78.035 1.204.166 1.486.275.373.145.64.319.92.599s.453.546.598.92c.11.281.24.705.275 1.485.039.843.047 1.096.047 3.231s-.008 2.389-.047 3.232c-.035.78-.166 1.203-.275 1.485a2.5 2.5 0 0 1-.599.919c-.28.28-.546.453-.92.598-.28.11-.704.24-1.485.276-.843.038-1.096.047-3.232.047s-2.39-.009-3.233-.047c-.78-.036-1.203-.166-1.485-.276a2.5 2.5 0 0 1-.92-.598 2.5 2.5 0 0 1-.6-.92c-.109-.281-.24-.705-.275-1.485-.038-.843-.046-1.096-.046-3.233s.008-2.388.046-3.231c.036-.78.166-1.204.276-1.486.145-.373.319-.64.599-.92s.546-.453.92-.598c.282-.11.705-.24 1.485-.276.738-.034 1.024-.044 2.515-.045zm4.988 1.328a.96.96 0 1 0 0 1.92.96.96 0 0 0 0-1.92m-4.27 1.122a4.109 4.109 0 1 0 0 8.217 4.109 4.109 0 0 0 0-8.217m0 1.441a2.667 2.667 0 1 1 0 5.334 2.667 2.667 0 0 1 0-5.334"></path></svg>
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| x.com |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewbox="0 0 16 16" height="24" width="24" xmlns="http://www.w3.org/2000/svg"><path d="M12.6.75h2.454l-5.36 6.142L16 15.25h-4.937l-3.867-5.07-4.425 5.07H.316l5.733-6.57L0 .75h5.063l3.495 4.633L12.601.75Zm-.86 13.028h1.36L4.323 2.145H2.865z"></path></svg>
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| linkedin.com |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewbox="0 0 16 16" height="24" width="24" xmlns="http://www.w3.org/2000/svg"><path d="M0 1.146C0 .513.526 0 1.175 0h13.65C15.474 0 16 .513 16 1.146v13.708c0 .633-.526 1.146-1.175 1.146H1.175C.526 16 0 15.487 0 14.854zm4.943 12.248V6.169H2.542v7.225zm-1.2-8.212c.837 0 1.358-.554 1.358-1.248-.015-.709-.52-1.248-1.342-1.248S2.4 3.226 2.4 3.934c0 .694.521 1.248 1.327 1.248zm4.908 8.212V9.359c0-.216.016-.432.08-.586.173-.431.568-.878 1.232-.878.869 0 1.216.662 1.216 1.634v3.865h2.401V9.25c0-2.22-1.184-3.252-2.764-3.252-1.274 0-1.845.7-2.165 1.193v.025h-.016l.016-.025V6.169h-2.4c.03.678 0 7.225 0 7.225z"></path></svg>
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| youtube.com |
<svg stroke="currentColor" fill="currentColor" stroke-width="0" viewbox="0 0 16 16" height="24" width="24" xmlns="http://www.w3.org/2000/svg"><path d="M8.051 1.999h.089c.822.003 4.987.033 6.11.335a2.01 2.01 0 0 1 1.415 1.42c.101.38.172.883.22 1.402l.01.104.022.26.008.104c.065.914.073 1.77.074 1.957v.075c-.001.194-.01 1.108-.082 2.06l-.008.105-.009.104c-.05.572-.124 1.14-.235 1.558a2.01 2.01 0 0 1-1.415 1.42c-1.16.312-5.569.334-6.18.335h-.142c-.309 0-1.587-.006-2.927-.052l-.17-.006-.087-.004-.171-.007-.171-.007c-1.11-.049-2.167-.128-2.654-.26a2.01 2.01 0 0 1-1.415-1.419c-.111-.417-.185-.986-.235-1.558L.09 9.82l-.008-.104A31 31 0 0 1 0 7.68v-.123c.002-.215.01-.958.064-1.778l.007-.103.003-.052.008-.104.022-.26.01-.104c.048-.519.119-1.023.22-1.402a2.01 2.01 0 0 1 1.415-1.42c.487-.13 1.544-.21 2.654-.26l.17-.007.172-.006.086-.003.171-.007A100 100 0 0 1 7.858 2zM6.4 5.209v4.818l4.157-2.408z"></path></svg>
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